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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
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Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
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Amberdata research
Dokumentu skaits: 766
FMZ forum
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FMZ digest
Dokumentu skaits: 662
vn.py community
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QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
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QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This document outlines a stock screen for companies in the metaverse sector, requiring the opening price relative to the prior close to be below a stated gap threshold and looking for a rising-bottom pattern. It describes the latter as a potentially…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a short-term stock screen combining price amplitude above a threshold, a morning star candlestick pattern, and a weekly five-period moving average crossing above a ten-period average. It explains amplitude as a measure of price…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This strategy description combines a Perfect Trend Line signal for entries and exits with a Trend Impulse indicator for direction. It is presented for five-minute Dow Jones trading. A long position is opened when the trend line changes to bullish while the…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRīkojumu izpilde
SuperMind

This stock screen focuses on companies classified in the metaverse concept group. It selects stocks whose average price is above the five-day moving average and whose five-, ten-, twenty-, thirty-, and sixty-day moving averages coincide. The document…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This post proposes screening Chinese stocks for a daily high-low range above one percent during 2021, combined with prior-day auction turnover greater than 0.26. Qualifying stocks enter a candidate pool; the provided Python example then sorts them by closing…

Ķīnas tirgiAkcijasSvārstīgumsTehniskie indikatori
SuperMind

This overview compares four crypto trading styles by holding period, activity, and typical analytical focus. Scalping seeks frequent small moves within a day and demands close monitoring; day trading holds positions for hours but generally closes them before…

KriptoaktīviTehniskie indikatoriRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This stock-screening post describes ranking candidates by capital strength, using measures such as net inflows and turnover, while requiring the 20-day moving average to exceed the 120-day average. It also discusses a share-price ceiling, stated in the body…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

Firebird v0.60 is described as an expert advisor that trades using a moving average and a configurable percentage distance between the price and the average. Before opening a position, it checks the time since the previous position was opened and skips a new…

Tehniskie indikatoriRīkojumu izpildePozīcijas apjoma noteikšanaRiska pārvaldība
SuperMind

This document outlines an A-share stock screen using daily amplitude above 1, a 9:25 price gain below 6%, and turnover between 3% and 12%. Its final version also requires sustained net inflows, combining a volatility filter, an opening-price condition,…

AkcijasĶīnas tirgiTehniskie indikatoriRīkojumu izpilde
SuperMind

The document outlines a Chinese stock screen restricted to the metaverse theme. It selects shares whose 9:25 gain is below 6% and whose stock price or average price is above its five-day moving average. The post interprets the sector filter as an industry…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a Chinese equity screening rule that combines daily amplitude above 1, current volume above 10,000 lots, an opening price above the prior close, and an upward-sloping 30-day moving average. It presents the conditions as a way to find…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This document outlines a Chinese equity screening rule that combines daily price amplitude, a minimum circulating market capitalization, and ranking by large-order net volume. Its stated rationale is to focus on stocks with meaningful price movement,…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This document describes a stock screen using a daily high-low range of at least 1%, relative volume between 1.5 and 6 times a five-day average, a share price below 12, and a price-to-book ratio below 3. The stated intent is to find shares with noticeable…

AkcijasTehniskie indikatoriSvārstīgumsVēsturisko datu pārbaude
SuperMind

This document outlines a stock screen combining a daily price range above 1%, a closing price below 20, and afternoon large-order net inflows. It presents these as filters for volatility, lower-priced shares, and recent buying interest. The proposed…

AkcijasTehniskie indikatoriSvārstīgums
SuperMind

This post presents a stock-selection idea combining three filters: RSI below 65, a favorable company-type classification, and more than two limit-up sessions within a ten-day window. The author frames repeated limit-ups as a way to identify stocks attracting…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This post describes a Chinese stock screening rule that combines a daily high-low price range of at least one unit, return on equity above 15% in each of the past five years, and membership in the beverage and alcohol import-export industry. It outlines the…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriĶīnas tirgi
SuperMind

This post proposes screening stocks whose codes begin with 60, whose turnover rate falls within a stated range, and whose relationship between the prior day’s turnover and current auction volume relative to prior volume falls within a specified band. The…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

The post describes a screen for Chinese stocks associated with the metaverse theme, with circulating market value above a stated threshold and a cap on the gain early in the trading session. It provides formula and Python examples for identifying theme…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This post proposes a stock-selection screen that combines MACD above its zero line, upward separation of short moving averages, and a signal described as the start of a major advance. It illustrates calculations for MACD, moving averages, and KDJ, then…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese equity screening idea combines intraday range, a morning-star style candlestick condition, and positive afternoon net buying by large orders. The article frames the range as a volatility measure, the candle pattern as technical evidence, and…

Ķīnas tirgiAkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The document describes a Chinese equity screen for stocks with turnover between 3% and 12%, listing year 2021, and recent institutional buying. It presents these filters as a way to combine trading activity and listing vintage with signals inferred from…

Ķīnas tirgiAkcijasTirgus mikrostruktūra
SuperMind

The article proposes a Chinese equity screening rule using three conditions: a prior-day price range above a threshold, a positive reading for a “main force control” measure, and prior-day auction turnover above a stated cutoff. It presents the combination…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This document describes a Chinese A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive net income, and a control ratio above 21%. It frames the control ratio as a measure for narrowing the pool after…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

The document outlines a Chinese stock selection screen combining daily price amplitude above 1, RSI below 65, and a daily position-increase ratio above 5%. It interprets the amplitude and RSI filters as technical conditions and the increase ratio as a sign…

AkcijasTehniskie indikatoriCenas impulssStatistika